Direction Finding Algorithms for Narrowband Signals

This section demonstrates how to implement direction finding algorithms for narrowband signals using MATLAB programming. These algorithms provide practical solutions for real-world applications by accurately determining the direction of narrowband signals, enabling effective signal source localization and tracking. The implementation process typically involves several key steps that can be coded in MATLAB: signal acquisition using built-in functions like 'audioread' or custom data input routines, preprocessing operations including filtering and normalization, feature extraction using techniques such as Fourier analysis or covariance matrix computation, and angle estimation through algorithms like MUSIC (Multiple Signal Classification) or ESPRIT (Estimation of Signal Parameters via Rotational Invariance Techniques). By systematically analyzing and processing signals through these MATLAB implementations, we obtain precise directional information that provides robust support for various advanced applications including radar systems, wireless communications, and spectrum monitoring.